Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 293)
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Show Notes
VortexNet uses actual whirlpools to build neural networks. Seriously.
By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies.
Today we explain how vortex shedding, the Strouhal number, and turbulent flows might change everything in AI.
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References
https://samim.io/p/2025-01-18-vortextnet/